| User | alexb |
| Upload Date | August 23 2025 01:14 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4894
910.1 IPS |
|
|
Image Classification (HP)
|
100% |
4545
845.2 IPS |
|
|
Image Classification (Q)
|
100% |
10806
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7069
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3851
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13019
211.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12356
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32251
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4762
377.7 IPS |
|
|
Object Detection (HP)
|
100% |
4345
344.6 IPS |
|
|
Object Detection (Q)
|
88% |
11676
935.9 IPS |
|
|
Face Detection (SP)
|
100% |
14752
175.3 IPS |
|
|
Face Detection (HP)
|
100% |
13087
155.5 IPS |
|
|
Face Detection (Q)
|
100% |
31310
372.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13560
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11706
90.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
31964
248.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36565
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25882
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
92136
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6584
243.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5627
207.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17580
651.0 IPS |
|
|
Text Classification (SP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
6153
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6134
105.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3128
53.9 IPS |